| Literature DB >> 31256032 |
Siyu Zhao1, Yu Cao2, Yanni Lei3, Fangchao Liu1, Shiyu Shao3, Jue Liu1, Dongni Nie3, Nannan Yang3, Min Liu1.
Abstract
OBJECTIVES: To access the epidemiological characteristics of elderly people using emergency medical services (EMS) in Beijing, as a consequence of injurious falls, and the association between an ageing population and injurious falls.Entities:
Keywords: emergency medical services; injurious falls; older people; population aging
Mesh:
Year: 2019 PMID: 31256032 PMCID: PMC6609050 DOI: 10.1136/bmjopen-2018-028292
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Figure 1Participant selection flow diagram. EMS, emergency medical services.
Characteristics of elderly people using emergency medical services (EMS) in Beijing from 2010 to 2017
| Characteristics | Number of participants | |
| N | % | |
| Overall | 987 190 | 100.00 |
| Month of the call | ||
| March–May | 245 292 | 24.85 |
| June–August | 227 578 | 23.05 |
| September–November | 250 852 | 25.41 |
| December–February | 263 468 | 26.69 |
| Time of the call during a day | ||
| 00:00–01:59 | 48 736 | 4.94 |
| 02:00–03:59 | 42 573 | 4.31 |
| 04:00–05:59 | 46 115 | 4.67 |
| 06:00–07:59 | 72 382 | 7.33 |
| 08:00–09:59 | 151 010 | 15.30 |
| 10:00 - 11:59 | 104 199 | 10.56 |
| 12:00–13:59 | 111 506 | 11.30 |
| 14:00–15:59 | 100 812 | 10.21 |
| 16:00–17:59 | 86 114 | 8.72 |
| 18:00–19:59 | 79 393 | 8.04 |
| 20:00–21:59 | 80 701 | 8.17 |
| 22:00–23:59 | 63 649 | 6.45 |
| Sex | ||
| Male | 489 388 | 50.43 |
| Female | 480 974 | 49.57 |
| Age, years | ||
| 60–79 | 559 073 | 56.63 |
| 80–100 | 391 079 | 39.62 |
| Not indicated | 37 038 | 3.75 |
| Region | ||
| Urban | 698 988 | 71.09 |
| Suburban | 284 215 | 28.91 |
| Proportion of elderly population | ||
| Low | 185 385 | 18.86 |
| Medium | 469 367 | 47.74 |
| High | 328 451 | 33.41 |
Participants with missing sex data (16 828) or missing district data (3987) were respectively excluded in the corresponding analysis.
Proportion of elderly population and elderly people using emergency medical services (EMS) due to injurious falls in urban and suburban regions of Beijing from 2010 to 2017
| Year | Proportion of elderly population (%) | Using EMS | |||||||
| Overall | Urban | Suburban | Overall | Urban | Suburban | ||||
| Number, | Proportion of falls, | Number, | Proportion of falls, | Number, | Proportion of falls, | ||||
| Overall | - | - | - | 987 190 | 8.38 (8.32 to 8.43) | 698 988 | 8.62 (8.55 to 8.68) | 284 215 | 7.80 (7.70 to 7.90) |
| 2010 | 18.7 | 20.0 | 16.6 | 88 894 | 7.12 (6.95 to 7.29) | 75 534 | 7.38 (7.20 to 7.57) | 13 358 | 5.61 (5.23 to 6.01) |
| 2011 | 19.4 | 20.7 | 17.3 | 95 960 | 7.51 (7.34 to 7.68) | 75 051 | 7.81 (7.62 to 8.01) | 20 764 | 6.42 (6.10 to 6.77) |
| 2012 | 20.3 | 21.5 | 18.2 | 104 937 | 7.87 (7.71 to 8.03) | 84 073 | 8.08 (7.90 to 8.26) | 20 342 | 7.04 (6.70 to 7.40) |
| 2013 | 21.2 | 22.5 | 19.1 | 111 746 | 8.17 (8.01 to 8.33) | 85 918 | 8.69 (8.50 to 8.88) | 25 397 | 6.43 (6.13 to 6.73) |
| 2014 | 22.3 | 23.5 | 20.1 | 119 348 | 8.20 (8.05 to 8.36) | 86 112 | 8.60 (8.42 to 8.79) | 32 729 | 7.16 (6.89 to 7.45) |
| 2015 | 23.3 | 24.6 | 21.2 | 133 893 | 8.67 (8.52 to 8.82) | 86 304 | 8.95 (8.76 to 9.14) | 45 498 | 8.18 (7.93 to 8.44) |
| 2016 | 24.2 | 25.5 | 21.9 | 153 886 | 8.78 (8.64 to 8.92) | 95 197 | 9.03 (8.85 to 9.22) | 58 401 | 8.38 (8.16 to 8.61) |
| 2017 | - | - | - | 178 526 | 9.45 (9.31 to 9.58) | 110 799 | 9.76 (9.59 to 9.94) | 67 726 | 8.93 (8.72 to 9.15) |
| χ2 | 616.897 | 432.603 | 372.839 | ||||||
| P values | <0.0001 | <0.0001 | <0.0001 | ||||||
Participants with missing district data (3987) were excluded in the analysis of urban and suburban regions.
Percentages with 95% CI were unadjusted and calculated by the normal distribution method.
Figure 2Proportion of elderly population and proportion of falls in 2010 and 2017 for each district of Beijing.
Figure 3Trends in proportion of elderly population and proportion of falls in urban and suburban regions from 2010 to 2017.
Proportion of falls and risk factors for using emergency medical services (EMS) due to injurious falls among elderly people in Beijing from 2010 to 2017
| Characteristics | Participants using EMS due to injurious falls, N (%) | Proportion of falls, | cOR (95% CI) | aOR |
| Overall | 82 694 (100.00) | 8.38 (8.32 to 8.43) | - | - |
| Month of the call | ||||
| March–May | 19 808 (23.95) | 8.08 (7.97 to 8.18) | 1.06 (1.03 to 1.08) | 1.05 (1.03 to 1.07) |
| June–August | 20 108 (24.32) | 8.84 (8.72 to 8.95) | 1.17 (1.14 to 1.19) | 1.16 (1.14 to 1.18) |
| September–November | 22 545 (27.26) | 8.99 (8.88 to 9.10) | 1.19 (1.16 to 1.21) | 1.19 (1.16 to 1.21) |
| December–February | 20 233 (24.47) | 7.68 (7.58 to 7.78) | 1.00 | 1.00 |
| Time of day during the call | ||||
| 00:00–01:59 | 2001 (2.42) | 4.11 (3.93 to 4.29) | 1.00 | 1.00 |
| 02:00–03:59 | 1934 (2.34) | 4.54 (4.35 to 4.74) | 1.11 (1.04 to 1.18) | 1.11 (1.04 to 1.19) |
| 04:00–05:59 | 2810 (3.40) | 6.09 (5.88 to 6.32) | 1.52 (1.43 to 1.61) | 1.50 (1.42 to 1.59) |
| 06:00–07:59 | 7027 (8.50) | 9.71 (9.49 to 9.93) | 2.51 (2.39 to 2.64) | 2.46 (2.34 to 2.59) |
| 08:00–09:59 | 15 125 (18.29) | 10.02 (9.87 to 10.17) | 2.60 (2.48 to 2.73) | 2.52 (2.40 to 2.64) |
| 10:00–11:59 | 10 261 (12.41) | 9.85 (9.67 to 10.03) | 2.55 (2.43 to 2.68) | 2.49 (2.36 to 2.61) |
| 12:00–13:59 | 9847 (11.91) | 8.83 (8.67 to 9.00) | 2.26 (2.15 to 2.38) | 2.20 (2.09 to 2.31) |
| 14:00–15:59 | 9302 (11.25) | 9.23 (9.05 to 9.41) | 2.37 (2.26 to 2.49) | 2.31 (2.20 to 2.43) |
| 16:00–17:59 | 8570 (10.36) | 9.95 (9.75 to 10.15) | 2.58 (2.46 to 2.71) | 2.51 (2.39 to 2.64) |
| 18:00–19:59 | 6562 (7.94) | 8.27 (8.08 to 8.46) | 2.10 (2.00 to 2.22) | 2.06 (1.96 to 2.17) |
| 20:00–21:59 | 5932 (7.17) | 7.35 (7.17 to 7.53) | 1.85 (1.76 to 1.95) | 1.82 (1.72 to 1.91) |
| 22:00–23:59 | 3323 (4.02) | 5.22 (5.05 to 5.40) | 1.29 (1.22 to 1.36) | 1.27 (1.20 to 1.35) |
| Sex | ||||
| Male | 34 971 (43.01) | 7.15 (7.07 to 7.22) | 1.00 | 1.00 |
| Female | 46 339 (56.99) | 9.63 (9.55 to 9.72) | 1.39 (1.37 to 1.41) | 1.38 (1.36 to 1.40) |
| Age, years | ||||
| 60–79 | 40 280 (48.71) | 7.20 (7.14 to 7.27) | 1.00 | 1.00 |
| 80–100 | 36 978 (44.72) | 9.46 (9.36 to 9.55) | 1.34 (1.33 to 1.36) | 1.29 (1.27 to 1.31) |
| Not indicated | 5436 (6.57) | 14.68 (14.32 to 15.04) | 2.22 (2.15 to 2.28) | 2.18 (2.11 to 2.25) |
| Region | ||||
| Urban | 60 243 (73.11) | 8.62 (8.55 to 8.68) | 1.12 (1.10 to 1.13) | 1.07 (1.05 to 1.09) |
| Suburban | 22 160 (26.89) | 7.80 (7.70 to 7.90) | 1.00 | 1.00 |
| Proportion of elderly population | ||||
| Low | 14 481 (17.57) | 7.81 (7.69 to 7.93) | 1.00 | 1.00 |
| Medium | 38 622 (46.87) | 8.23 (8.15 to 8.31) | 1.06 (1.04 to 1.08) | 1.09 (1.06 to 1.11) |
| High | 29 300 (35.56) | 8.92 (8.82 to 9.02) | 1.16 (1.13 to 1.18) | 1.15 (1.12 to 1.17) |
Participants with missing sex data (16 828) or missing district data (3987) were respectively excluded in corresponding analysis of proportion of falls and crude OR (cOR). Participants with missing sex or district data (20 723) were excluded in analysis of adjusted OR (aOR).
Percentages with 95% CI were unadjusted and calculated by the normal distribution method.
*Adjusted using the multivariable logistic regression model that included all six characteristics in this table.